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Zeng G, Li X, Li W, Wen Z, Wang S, Zheng S, Lin X, Zhong H, Zheng J, Sun C. A nomogram model based on the combination of the systemic immune-inflammation index, body mass index, and neutrophil/lymphocyte ratio to predict the risk of preoperative deep venous thrombosis in elderly patients with intertrochanteric femoral fracture: a retrospective cohort study. J Orthop Surg Res 2023; 18:561. [PMID: 37533084 PMCID: PMC10398922 DOI: 10.1186/s13018-023-03966-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 06/29/2023] [Indexed: 08/04/2023] Open
Abstract
OBJECTIVES Deep vein thrombosis (DVT) has been considered as a frequent and serious consequence of intertrochanteric femoral fractures in the elderly. Several negative repercussions of DVT can be considerably mitigated by its timely recognition and treatment. The current work was aimed at exploring the factors independently predicting DVT among cases suffering from intertrochanteric femoral fractures and validate their predictive usefulness in diagnosing DVT. METHODS Between April 2017 and July 2022, clinical information from 209 cases showing preoperative DVT for femoral intertrochanteric fractures were retrospectively evaluated. In patients with femoral intertrochanteric fractures, logistic regression analysis with a backward stepwise method was adopted for detecting independent predictors for the diagnosis of preoperative DVT. Using multivariate logistic regression, a nomogram prediction model was developed and verified with the testing group. RESULTS According to multivariate logistic regression model, body mass index (BMI) (OR 0.79, 95% CI 0.63-0.99, P = 0.042), neutrophil/lymphocyte ratio (NLR) (OR 7.29, 95% CI 1.53, 34.64, P = 0.0012), and systemic immune-inflammation index (SII) (OR 6.61, 95% CI 2.35, 18.59, P = 0.001) were independent predictors for DVT before surgery among cases developing intertrochanteric femoral fracture. AUC values were 0.862 and 0.767 for training and testing groups, separately, while their mean errors in the calibration curve were 0.027 and 0.038 separately. Decision curve analysis (DCA) curve revealed a high value of clinical application for both groups. CONCLUSION Upon admission, BMI, NLR, and SII are independent predictors of DVT before surgery among cases developing intertrochanteric femoral fractures. Additionally, the nomogram based on the BMI, NLR, and SII can assist clinicians in determining if preventive and symptomatic therapies are required to improve DVT prognosis and reduce its associated mortality.
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Affiliation(s)
- Guowei Zeng
- Department of the Orthopedics, Huizhou First Hospital, Guangdong Medical University, Huizhou, 516000, Guangdong, China
- Guangdong Medical University, Zhanjiang, 524000, Guangdong, China
| | - Xu Li
- Department of the Orthopedics, Huizhou First Hospital, Guangdong Medical University, Huizhou, 516000, Guangdong, China
| | - Wencai Li
- Department of Neurosurgery, Huizhou Central People's Hospital, Huizhou, China
| | - Zhijia Wen
- Department of the Orthopedics, Huizhou First Hospital, Guangdong Medical University, Huizhou, 516000, Guangdong, China
- Guangdong Medical University, Zhanjiang, 524000, Guangdong, China
| | - Shenjie Wang
- Department of the Orthopedics, Huizhou First Hospital, Guangdong Medical University, Huizhou, 516000, Guangdong, China
- Guangdong Medical University, Zhanjiang, 524000, Guangdong, China
| | - Shaowei Zheng
- Department of the Orthopedics, Huizhou First Hospital, Guangdong Medical University, Huizhou, 516000, Guangdong, China
| | - Xia Lin
- Department of the Orthopedics, Huizhou First Hospital, Guangdong Medical University, Huizhou, 516000, Guangdong, China
- Guangdong Medical University, Zhanjiang, 524000, Guangdong, China
| | - Haobo Zhong
- Department of the Orthopedics, Huizhou First Hospital, Guangdong Medical University, Huizhou, 516000, Guangdong, China.
- Guangdong Medical University, Zhanjiang, 524000, Guangdong, China.
| | - Jianping Zheng
- Department of the Orthopedics, Huizhou First Hospital, Guangdong Medical University, Huizhou, 516000, Guangdong, China.
| | - Chunhan Sun
- Department of the Orthopedics, Huizhou First Hospital, Guangdong Medical University, Huizhou, 516000, Guangdong, China.
- Guangdong Medical University, Zhanjiang, 524000, Guangdong, China.
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Festa E, Ascione T, Bernasconi A, Di Gennaro D, Basso MA, Guarino A, Balato G. Diagnostic Performance of Neutrophil to Lymphocyte Ratio, Monocyte to Lymphocyte Ratio, Platelet to Lymphocyte Ratio, and Platelet to Mean Platelet Volume Ratio in Periprosthetic Hip and Knee Infections: A Systematic Review and Meta-Analysis. Diagnostics (Basel) 2022; 12:diagnostics12092033. [PMID: 36140435 PMCID: PMC9497749 DOI: 10.3390/diagnostics12092033] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 08/19/2022] [Accepted: 08/19/2022] [Indexed: 12/20/2022] Open
Abstract
The current literature on the diagnosis of periprosthetic joint infection provides controversial evidence on the diagnostic accuracy of MLR, NLR, PVR, and PLR. Therefore, this critical literature search and meta-analysis was aimed to summarize the diagnostic accuracy of these biomarkers for the diagnosis of hip and knee prosthetic infection. According to the PRISMA flowchart, we searched MEDLINE, Scopus, and Web of Science, for studies on these ratios for diagnosing PJI. Sensitivity, specificity, positive and negative likelihood ratio, diagnostic odds ratio, and AUC were analyzed. We included 11 articles in our meta-analysis, including 7537 patients who underwent total hip and knee arthroplasties; among these, 1974 (26%) patients reported a joint infection. The pooled sensitivity and specificity were 0.72 and 0.74, respectively, for NLR, 0.72 and 0.77 for PVR, and 0.77 and 0.75 for PLR. The sensitivity of MLR ranges from 0.54 to 0.81, while the specificity ranges from 0.78 to 0.81. Regarding the evaluation of AUCs, the best diagnostic performance was achieved by MLR (AUC = 0.77) followed by PLR (AUC = 0.75), NLR (AUC = 0.73), and PVR (AUC = 0.70). This meta-analysis demonstrates a fair diagnostic accuracy of these ratios, thus not being useful as a screening tool.
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Affiliation(s)
- Enrico Festa
- Orthopedic Unit, Department of Public Health, Federico II University Naples, 80131 Naples, Italy
- Correspondence:
| | - Tiziana Ascione
- Service of Infectious Disease, Department of Medicine, Cardarelli Hospital Naples, 80131 Naples, Italy
| | - Alessio Bernasconi
- Orthopedic Unit, Department of Public Health, Federico II University Naples, 80131 Naples, Italy
| | - Donato Di Gennaro
- Orthopedic Unit, Department of Public Health, Federico II University Naples, 80131 Naples, Italy
| | - Morena Anna Basso
- Orthopedic Unit, Department of Public Health, Federico II University Naples, 80131 Naples, Italy
| | - Amedeo Guarino
- Orthopedic Unit, Department of Public Health, Federico II University Naples, 80131 Naples, Italy
| | - Giovanni Balato
- Orthopedic Unit, Department of Public Health, Federico II University Naples, 80131 Naples, Italy
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